R: Genetic Algorithms in Regression

# Genetic Algorithms in Regression

## Documentation for package ‘GAReg’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

cptgaControl | Build Control List for 'cptga'/'cptgaisl'
crossover_fixknots | Crossover Operator (Fixed-m) with Feasibility-First Restarts
FDRCalc | False Discovery Rate (FDR) and True Positive Rate (TPR) from index labels
fixknotsIC | Information criterion for a fixed–knot spline regression
gareg-class | S4 Class Definition for 'gareg'
gareg-methods | Show and summary methods for 'gareg'
gareg_knots | Genetic-Algorithm–based Optimal Knot Selection
gareg_subset | Genetic-Algorithm Best Subset Selection (GA / GAISL)
mutation_fixknots | Mutation Operator (Fixed-Knots)
nhtr2005 | Northern Hemisphere temperature reconstruction
Popinitial_fixknots | Fixed-Knots Population Initializer
selectTau_uniform_exact | Exact Uniform Sampler of Feasible Changepoints
show-method | Show and summary methods for 'gareg'
splineX | Build spline design matrices (piecewise polynomials, natural cubic, B-spline)
subsetBIC | Unified BIC-style Objective for Subset Selection (GLM & Gaussian)
summary-method | Show and summary methods for 'gareg'
varyknotsIC | Information criterion for spline regression with a variable number of knots